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Ardalan Mirshani
I am a Data Scientist and Statistical web app developer with an
interest on creating scientific tools, reproducible workflows, and automating repetitive tasks that arise during all data wrangling, exploring, visualizing, modeling, and reporting processes.
Professional Experience
Sr Expert Data Science
Novartis
Cambridge, MA
Present - 10-2019
- Creating generalizable and reusable statistical tools, advance interactive visualizations, automation workflows, high performance computing,
scientific reproducible templates and reports for analytics activities. - Developing production-grade shiny apps, modules, and R-packages to support exploratory machine learning projects.
- Designing educational training materials and consulting for internal quantitative scientists.
Shiny app developer (Internship)
Novartis (Recommendation)
Cambridge, MA
08-2018 - 05-2018
- Implementing modularized R Shiny apps for analyzing clinical trials.
Statistical Consultant
PSU Statistical Consulting Center
University Park, PA
2016
- Applications of statistical methods in the consulting environment.
Education
PhD, Statistics
Pennsylvania State University
University Park, PA
2019 - 2014
M.Sc, Mathematics
Sharif University of Technology
Iran
2013 - 2011
B.Sc, Electrical Engineering
KNTU
Iran
2011 - 2006
Freelance Experience
Brand Loyalty Lab
A series of research and development on retail market brand loyalty.
N/A
Now - 2019
RAAVI
A complicated modularized Shiny app for analyzing students’ scores.
N/A
2018 - 2017
Other Languages:
Python: My second
language, {reticulate}Julia: Exploration
Script: Bash
Certificates
Data Science
DataCamp (Certificates)
N/A
2020 - 2018
- Exploring +40
Datacampcourses on the state of the art pkgs in Data wrangling, visualizing, modeling, reporting, Big data, databases, and more for thinking and coding more efficient.
Cheatsheet
- Parallel Computing:
Contributed to RStudio Cheatsheet
Research Experience
Adaptive function-on-scalar regression with a smoothing elastic net
Submitted to JMVA (Article)
N/A
2020 - 2018
- {AFSSEN} R-Package: A very fast coordinate descent algorithm (
C++backend) for running function-on-scalar regression in high-dim data.
Teaching Experience
Lecturer: Probability, statistics and Calculus
Tehran Virtual University
Iran
2008
Awards
CD&A Best Poster Presentation Awards
A Shiny app for exploring safety and efficacy of Heme data
Novartis
2020
Rao Prize Best Poster Presentation Awards
Privacy in functional data analysis
PSU
2017
Silver Medal
35th Iranian National Mathematics Competition for university
Iran
2011